Epoch: 0001 train_loss= 1.70744 train_acc= 0.47091 val_loss= 2.72899 val_acc= 0.60656 time= 0.41510
Epoch: 0002 train_loss= 3.84474 train_acc= 0.47091 val_loss= 1.70262 val_acc= 0.62295 time= 0.01500
Epoch: 0003 train_loss= 1.34587 train_acc= 0.44364 val_loss= 0.89419 val_acc= 0.62295 time= 0.01100
Epoch: 0004 train_loss= 1.92921 train_acc= 0.51455 val_loss= 0.97891 val_acc= 0.49180 time= 0.01500
Epoch: 0005 train_loss= 2.03342 train_acc= 0.51455 val_loss= 1.75710 val_acc= 0.44262 time= 0.01400
Epoch: 0006 train_loss= 1.80997 train_acc= 0.49818 val_loss= 2.09817 val_acc= 0.44262 time= 0.01300
Epoch: 0007 train_loss= 2.78573 train_acc= 0.51091 val_loss= 2.09840 val_acc= 0.44262 time= 0.01400
Epoch: 0008 train_loss= 2.57958 train_acc= 0.53818 val_loss= 1.89985 val_acc= 0.47541 time= 0.01200
Epoch: 0009 train_loss= 2.79846 train_acc= 0.53091 val_loss= 1.62327 val_acc= 0.50820 time= 0.01200
Epoch: 0010 train_loss= 2.95327 train_acc= 0.53273 val_loss= 1.25180 val_acc= 0.54098 time= 0.01300
Epoch: 0011 train_loss= 1.39492 train_acc= 0.48364 val_loss= 1.02792 val_acc= 0.54098 time= 0.01300
Epoch: 0012 train_loss= 1.83095 train_acc= 0.53091 val_loss= 0.80316 val_acc= 0.55738 time= 0.01300
Epoch: 0013 train_loss= 2.03076 train_acc= 0.48727 val_loss= 0.70365 val_acc= 0.50820 time= 0.01200
Epoch: 0014 train_loss= 1.42364 train_acc= 0.47273 val_loss= 0.68433 val_acc= 0.54098 time= 0.01500
Epoch: 0015 train_loss= 1.34724 train_acc= 0.50727 val_loss= 0.70441 val_acc= 0.55738 time= 0.01400
Epoch: 0016 train_loss= 1.28318 train_acc= 0.51818 val_loss= 0.75240 val_acc= 0.55738 time= 0.01300
Epoch: 0017 train_loss= 1.16736 train_acc= 0.54182 val_loss= 0.77116 val_acc= 0.52459 time= 0.01300
Epoch: 0018 train_loss= 1.08870 train_acc= 0.47455 val_loss= 0.77701 val_acc= 0.52459 time= 0.01200
Epoch: 0019 train_loss= 1.79585 train_acc= 0.50909 val_loss= 0.86636 val_acc= 0.50820 time= 0.01200
Epoch: 0020 train_loss= 2.05407 train_acc= 0.49091 val_loss= 0.85336 val_acc= 0.52459 time= 0.01500
Early stopping...
Optimization Finished!
Test set results: cost= 0.73437 accuracy= 0.49180 time= 0.00500 
